RQ2 RLA

Column 1

Research Question

How does the the proficiency level in Reading and Language skill vary across state for High School Students? How does it differ by students characteristics such as English Learner status, Student with Disability, Low Income students?

Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts

Column

Percent of students at and above Reading and Languange Proficiency Level based on characteristics across the States

Column

A. Children with disability

B. English language learner

C. Economically disadvantaged students

D. All Students

RQ2 Math

Column 1

Research Question

How does the the proficiency level in math vary across state for High School Students? Also, how does it vary across the US regions (i.e Midwest, Northeast, South, and West)?

Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts

Column

Math Proficiency by Regions

The south region has relatively high percentage of students at and above Math proficiency, in contrast, the West region has relatively low percentage of students at and above Math proficiency. There is no clear pattern for Midwest and Northeast regions as there is large variation of Math profiency within these regions.

Column

Diverging Bars for Math Scores

Diverging Lollipop Chart - Math

RQ2 Textbook Spending

Column 1

Research Question

How does the the proficiency level in Reading and Language skill vary across state for High School Students? How does it differ by students characteristics such as English Learner status, Student with Disability, Low Income students?

Data Source: Distric Fiscal documentation 2018 School year 2019 Retrieved February 2, 2022.

On Average, Indiana spent the most on textbook per student at $107, while Hawaii spent the least on textbook per student at $14.

Column

Textbook spending across the US

Column

Indiana

Virginia

West Virginia

Oregon

Oregon Colorblind Friendly Version

Color-blind OR Plot

RQ2 Achievement vs Spending

Column 1

Research Question

What is the relationship between District Textbook Funding per Student and Students’ Math and RLA achievements?

Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts

Column

Math & Textbook Spending

States with relatively low spending on textbook has lower students at and above Math proficiency level.

RLA & Textbook Spending

Math & Textbook Spending (Raw LM)

Column

Option 1

Math & Achievement gghighlight

Research Question 3

Column 1

Variables:

  • LEAID - ID number for each school district

  • total - Total number of students in a school district

  • textbk_exp_per_student - Textbook Expenditure per Student

  • percentM - Percent of student population in a school district identifying as minorities

  • percentW - Percent of student population in a school district identifying as white

Data Source: https://usafacts.org/

Column 2

Correlation Coefficients Table

Correlation Table for Textbook Expenditure
Total Number of Students per District Textbook Expenditure per Student Percent of Student Population Identifying as Minority Percent of Student Population Identifying as White
total
textbk_exp_per_student 0.00
percentM 0.21*** 0.05***
percentW -0.21*** -0.05*** -1.00***

Initial Scatterplot

Scatterplot for Minority Students

Scatterplot for White Students

Column 3

Lowerbound Correlation Matrix

The ovals display the type of correlation direction, but there are no significance asterisks included for the correlations.

Initial Full Correlation Matrix

This initial version seems to busy with the large vs. small font sizes and red lines.

Second Full Correlation Matrix

This correlation matrix is missing the lines from the scatterplots, but it is cleaner visually with some overlap in x-axis labels.

Final Full Correlation Matrix

The color is more easily changed via the pairs.panels function.